Instructions to use WindyWord/translate-gil-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-gil-en with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyWord/translate-gil-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-gil-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fb7831c98b8c35089b4ffa31ab1774f4248974fec247fef854db4386eefbbd6
- Size of remote file:
- 71.8 MB
- SHA256:
- 22e0430a7d631726b0d69463887c3fafff34f760c0b1cb412bb24293f3aea330
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